Selection of cloud service provider based on sampled non-functional attribute set

Mehul Mahrishi; Kamal Kant Hiran; Ruchi Doshi

doi:10.1007/978-3-030-49342-4_62

Selection of cloud service provider based on sampled non-functional attribute set

Mehul Mahrishi^*, Kamal Kant Hiran, Ruchi Doshi

^*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

6 Citationer (Scopus)

Abstract

The successful service allocation is a result of the successful decisions made by the Cloud Service Provider. The decision must be effective and on time, for survival, to get competitive advantages and to increase profitability of an organization. In this scenario, the increasing number of Cloud Service Providers posts the challenge to measure the services on the basis of non-functional attributes also. In the literature, researchers have developed the optimization techniques to distribute the workload. A lot of work is done to optimize the functional attributes but through this research work we tried to propose a mathematical model to select the service provider based on some sampled non-functional attribute set.

Originalsprog	Engelsk
Titel	Intelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019
Redaktører	Ajith Abraham, Patrick Siarry, Kun Ma, Arturas Kaklauskas
Antal sider	8
Forlag	Springer
Publikationsdato	2021
Sider	641-648
ISBN (Trykt)	9783030493417
DOI	https://doi.org/10.1007/978-3-030-49342-4_62
Status	Udgivet - 2021
Begivenhed	19th International Conference on Intelligent Systems Design and Applications, ISDA 2019 - Auburn, USA Varighed: 3 dec. 2019 → 5 dec. 2019

Konference

Konference	19th International Conference on Intelligent Systems Design and Applications, ISDA 2019
Land/Område	USA
By	Auburn
Periode	03/12/2019 → 05/12/2019

Navn	Advances in Intelligent Systems and Computing
Vol/bind	1181 AISC
ISSN	2194-5357

Bibliografisk note

Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

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10.1007/978-3-030-49342-4_62

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Citationsformater

Mahrishi, M., Hiran, K. K., & Doshi, R. (2021). Selection of cloud service provider based on sampled non-functional attribute set. I A. Abraham, P. Siarry, K. Ma, & A. Kaklauskas (red.), Intelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019 (s. 641-648). Springer. https://doi.org/10.1007/978-3-030-49342-4_62

Mahrishi, Mehul ; Hiran, Kamal Kant ; Doshi, Ruchi. / Selection of cloud service provider based on sampled non-functional attribute set. Intelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019. red. / Ajith Abraham ; Patrick Siarry ; Kun Ma ; Arturas Kaklauskas. Springer, 2021. s. 641-648 (Advances in Intelligent Systems and Computing, Bind 1181 AISC).

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title = "Selection of cloud service provider based on sampled non-functional attribute set",

abstract = "The successful service allocation is a result of the successful decisions made by the Cloud Service Provider. The decision must be effective and on time, for survival, to get competitive advantages and to increase profitability of an organization. In this scenario, the increasing number of Cloud Service Providers posts the challenge to measure the services on the basis of non-functional attributes also. In the literature, researchers have developed the optimization techniques to distribute the workload. A lot of work is done to optimize the functional attributes but through this research work we tried to propose a mathematical model to select the service provider based on some sampled non-functional attribute set.",

keywords = "Cloud computing, Cloud service provider, Node information system, Resource allocation, Rough set theory, Virtual machine",

author = "Mehul Mahrishi and Hiran, {Kamal Kant} and Ruchi Doshi",

note = "Publisher Copyright: {\textcopyright} The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.; 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019 ; Conference date: 03-12-2019 Through 05-12-2019",

year = "2021",

doi = "10.1007/978-3-030-49342-4_62",

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isbn = "9783030493417",

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Mahrishi, M, Hiran, KK & Doshi, R 2021, Selection of cloud service provider based on sampled non-functional attribute set. i A Abraham, P Siarry, K Ma & A Kaklauskas (red), Intelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019. Springer, Advances in Intelligent Systems and Computing, bind 1181 AISC, s. 641-648, 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019, Auburn, USA, 03/12/2019. https://doi.org/10.1007/978-3-030-49342-4_62

Selection of cloud service provider based on sampled non-functional attribute set. / Mahrishi, Mehul; Hiran, Kamal Kant; Doshi, Ruchi.
Intelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019. red. / Ajith Abraham; Patrick Siarry; Kun Ma; Arturas Kaklauskas. Springer, 2021. s. 641-648 (Advances in Intelligent Systems and Computing, Bind 1181 AISC).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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AU - Hiran, Kamal Kant

AU - Doshi, Ruchi

N1 - Publisher Copyright: © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

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AB - The successful service allocation is a result of the successful decisions made by the Cloud Service Provider. The decision must be effective and on time, for survival, to get competitive advantages and to increase profitability of an organization. In this scenario, the increasing number of Cloud Service Providers posts the challenge to measure the services on the basis of non-functional attributes also. In the literature, researchers have developed the optimization techniques to distribute the workload. A lot of work is done to optimize the functional attributes but through this research work we tried to propose a mathematical model to select the service provider based on some sampled non-functional attribute set.

KW - Cloud computing

KW - Cloud service provider

KW - Node information system

KW - Resource allocation

KW - Rough set theory

KW - Virtual machine

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BT - Intelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019

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Mahrishi M, Hiran KK, Doshi R. Selection of cloud service provider based on sampled non-functional attribute set. I Abraham A, Siarry P, Ma K, Kaklauskas A, red., Intelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019. Springer. 2021. s. 641-648. (Advances in Intelligent Systems and Computing, Bind 1181 AISC). doi: 10.1007/978-3-030-49342-4_62

Selection of cloud service provider based on sampled non-functional attribute set

Abstract

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